Learn how MATLAB can support the development and debugging of your technical C/C++ applications by visualizing your data with its prebuilt plotting functions and testing your calculations with its trusted numerics. When using C/C++ to build technical

Learn how MATLAB can supplement the capabilities of Microsoft Excel by providing access to thousands of pre-built mathematical and advanced analysis functions, versatile visualization tools, and the ability to automate your analysis workflows.

What's New

Learn about the latest capabilities offered in MATLAB and Simulink in Release 2014b. New MATLAB features include: • New MATLAB graphics system • New functions for processing big data on your desktop that can scale for use with Hadoop • Git and Subver

In this webinar we highlight the new features and capabilities in the R2012b release of MATLAB and its associated products. Through overview slides and product demonstrations, attendees will learn about the newest capabilities of the MATLAB product f

In this webinar we highlight the new features and capabilities in the R2011b release of MATLAB and its associated products. Through overview slides and product demonstrations, attendees will learn about the newest capabilities of the MATLAB product f

In this webinar we highlight the new features and capabilities in the R2011a release of MATLAB and its associated products. Through overview slides and product demonstrations, attendees will learn about the newest capabilities of the MATLAB product f

In this webinar we highlight the new features and capabilities in the R2010a release of MATLAB and its associated products. Through overview slides and product demonstrations, attendees will learn about the newest capabilities of the MATLAB product

This webinar highlights the new features and capabilities in the R2009a release of MATLAB and its associated toolboxes. Through overview slides and product demonstrations, attendees will learn about the newest capabilities of the MATLAB product famil

In this webinar, we’ll highlight the new features and capabilities in Release 2008b of MATLAB and its associated toolboxes. Through overview slides and product demonstrations, you will learn about the newest capabilities of the MATLAB product family.

This webinar provides MATLAB users in the communications and electronics industries with a high-level introduction to recently introduced capabilities in MATLAB for parallel computing, object-oriented programming, and generating efficient, embeddable

Data Analysis and Mathematical Modeling

In this webinar you will learn how to get started using machine learning tools to detect patterns and build predictive models from your datasets. In this session, you will learn about several machine learning techniques available in MATLAB and how to

In this webinar, you will learn how to do data driven fitting with MathWorks products. Data driven fitting derives all of the information required to generate a model directly from the data set. Data driven fitting is also referred to as “black box”

Researchers and scientists have to commonly process, visualize and analyze large amounts of data to extract patterns, identify trends and relationships between variables, prove hypothesis, etc. A variety of statistical techniques are used in this dat

Classification is used to assign items to a discrete group or class based on a specific set of features. Classification algorithms are a core component of statistical learning / machine learning. In this webinar we introduce the classification capabi

In this webinar, you will learn how MATLAB can be used to forecast short-term electricity loads and prices. Nonlinear regression and neural network modeling techniques are used to demonstrate accurate modeling using historical, seasonal, day-of-the w

Algorithm Development and Programming

In this webinar you will learn how you can use MATLAB to transform your ideas into algorithms. The MATLAB environment combines all the tools and functionality that you need to rapidly develop, test, and analyze design concepts and methods, allowing

R2008a included a major update to object-oriented programming in MATLAB, enabling easier development and maintenance of large applications and data structures. Using engineering examples, this webinar will demonstrate how to define classes and work w

In this webinar we demonstrate the workflow for generating readable and portable C code from your MATLAB algorithms using MATLAB Coder. Using the command line approach or the graphical project management tool, you can introduce implementation require

Performance and Large Data Sets

In this session, we will demonstrate simple ways to improve and optimize your code that can boost execution speed. We will also address common pitfalls in writing MATLAB code, explore the use of the MATLAB Profiler to find bottlenecks, and introd...

In this webinar we describe strategies and techniques for speeding up your MATLAB applications. Included are tips on how to optimize the performance of the MATLAB code itself and how to use the MATLAB family of products to take advantage of advances

In this webinar you will learn how you can use Parallel Computing Toolbox™ and MATLAB Distributed Computing Server™ to speed up MATLAB applications by using the desktop and cluster computing hardware you already have. You will learn how minimal progr

In this webinar you will learn how MATLAB Distributed Computing Server™ works with Parallel Computing Toolbox™ to speed up MATLAB applications by using cluster computing hardware. You will learn how minimal changes to your code and workflow will allo

Application and Industry Examples

In this introductory webinar you will learn how to use computer vision algorithms to solve real world imaging problems. Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene.

Learn how MATLAB can support the prototyping and development of algorithmic trading in your organization. Algorithmic trading is a complex and multi-dimensional problem; there are a large number of different challenges that need to be addressed and s

In liberalized power markets the general shift in financial risk exposure creates a need for the development of new modeling tools explicitly fitted to the specific characteristics of decision problems in electricity markets. Everyday MATLAB products

In this webinar, you will see how you can use MATLAB to develop and deploy insurance models within financial services. The webinar follows the creation of a variable annuity product from its inception through data integration, analysis, modeling, and

In this webinar, professionals in economics or finance will learn how to use MATLAB to develop and use macroeconomic models with live economic data. This webinar shows how to model, identify, calibrate, and forecast with multiple time series models w

Learn how you can use MATLAB to analyze, construct and optimize portfolios interactively, and build robust graphical point-and-click portfolio analysis applications that you can deploy throughout your organization. Specific topics include: Importing

Using MATLAB with Other Applications

In this webinar, you’ll see how MATLAB supports CUDA kernel development by providing a high level language and development environment for prototyping algorithms and incrementally developing and testing CUDA kernels. Product demonstrations will high

Challenging image acquisition and processing problems are rarely solved with standard procedures. More often, you require flexible software that enables you to experiment with ideas, analyze results, and design real-world solutions. View this webinar

In this webinar we provide an overview of the data acquisition products which enable you to directly access data from many external sources. Engineers and scientists need to communicate with external data sources directly from the MATLAB environment

In this webinar, we will discuss the latest data acquisition capabilities provided by MATLAB and the test and measurement toolboxes. These products enable you to control and acquire data from external sources including sensors such as thermocouples

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